



'''simple docstring'''

from typing import TYPE_CHECKING

from ...utils import (
    OptionalDependencyNotAvailable,
    _LazyModule,
    is_flax_available,
    is_tf_available,
    is_tokenizers_available,
    is_torch_available,
)


SCREAMING_SNAKE_CASE__     :						List[str]	=  {
    '''configuration_roberta''': ['''ROBERTA_PRETRAINED_CONFIG_ARCHIVE_MAP''', '''RobertaConfig''', '''RobertaOnnxConfig'''],
    '''tokenization_roberta''': ['''RobertaTokenizer'''],
}

try:
			if not is_tokenizers_available():
						raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
			pass
else:
			SCREAMING_SNAKE_CASE__     :						str	=  ['''RobertaTokenizerFast''']

try:
			if not is_torch_available():
						raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
			pass
else:
			SCREAMING_SNAKE_CASE__     :						Optional[int]	=  [
			    '''ROBERTA_PRETRAINED_MODEL_ARCHIVE_LIST''',
			    '''RobertaForCausalLM''',
			    '''RobertaForMaskedLM''',
			    '''RobertaForMultipleChoice''',
			    '''RobertaForQuestionAnswering''',
			    '''RobertaForSequenceClassification''',
			    '''RobertaForTokenClassification''',
			    '''RobertaModel''',
			    '''RobertaPreTrainedModel''',
			]

try:
			if not is_tf_available():
						raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
			pass
else:
			SCREAMING_SNAKE_CASE__     :						Any	=  [
			    '''TF_ROBERTA_PRETRAINED_MODEL_ARCHIVE_LIST''',
			    '''TFRobertaForCausalLM''',
			    '''TFRobertaForMaskedLM''',
			    '''TFRobertaForMultipleChoice''',
			    '''TFRobertaForQuestionAnswering''',
			    '''TFRobertaForSequenceClassification''',
			    '''TFRobertaForTokenClassification''',
			    '''TFRobertaMainLayer''',
			    '''TFRobertaModel''',
			    '''TFRobertaPreTrainedModel''',
			]

try:
			if not is_flax_available():
						raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
			pass
else:
			SCREAMING_SNAKE_CASE__     :						List[Any]	=  [
			    '''FlaxRobertaForCausalLM''',
			    '''FlaxRobertaForMaskedLM''',
			    '''FlaxRobertaForMultipleChoice''',
			    '''FlaxRobertaForQuestionAnswering''',
			    '''FlaxRobertaForSequenceClassification''',
			    '''FlaxRobertaForTokenClassification''',
			    '''FlaxRobertaModel''',
			    '''FlaxRobertaPreTrainedModel''',
			]


if TYPE_CHECKING:
			from .configuration_roberta import ROBERTA_PRETRAINED_CONFIG_ARCHIVE_MAP, RobertaConfig, RobertaOnnxConfig
			from .tokenization_roberta import RobertaTokenizer

			try:
						if not is_tokenizers_available():
									raise OptionalDependencyNotAvailable()
			except OptionalDependencyNotAvailable:
						pass
			else:
						from .tokenization_roberta_fast import RobertaTokenizerFast

			try:
						if not is_torch_available():
									raise OptionalDependencyNotAvailable()
			except OptionalDependencyNotAvailable:
						pass
			else:
						from .modeling_roberta import (
						    ROBERTA_PRETRAINED_MODEL_ARCHIVE_LIST,
						    RobertaForCausalLM,
						    RobertaForMaskedLM,
						    RobertaForMultipleChoice,
						    RobertaForQuestionAnswering,
						    RobertaForSequenceClassification,
						    RobertaForTokenClassification,
						    RobertaModel,
						    RobertaPreTrainedModel,
						)

			try:
						if not is_tf_available():
									raise OptionalDependencyNotAvailable()
			except OptionalDependencyNotAvailable:
						pass
			else:
						from .modeling_tf_roberta import (
						    TF_ROBERTA_PRETRAINED_MODEL_ARCHIVE_LIST,
						    TFRobertaForCausalLM,
						    TFRobertaForMaskedLM,
						    TFRobertaForMultipleChoice,
						    TFRobertaForQuestionAnswering,
						    TFRobertaForSequenceClassification,
						    TFRobertaForTokenClassification,
						    TFRobertaMainLayer,
						    TFRobertaModel,
						    TFRobertaPreTrainedModel,
						)

			try:
						if not is_flax_available():
									raise OptionalDependencyNotAvailable()
			except OptionalDependencyNotAvailable:
						pass
			else:
						from .modeling_flax_roberta import (
						    FlaxRobertaForCausalLM,
						    FlaxRobertaForMaskedLM,
						    FlaxRobertaForMultipleChoice,
						    FlaxRobertaForQuestionAnswering,
						    FlaxRobertaForSequenceClassification,
						    FlaxRobertaForTokenClassification,
						    FlaxRobertaModel,
						    FlaxRobertaPreTrainedModel,
						)

else:
			import sys

			SCREAMING_SNAKE_CASE__     :						List[Any]	=  _LazyModule(__name__, globals()['''__file__'''], _import_structure, module_spec=__spec__)









'''simple docstring'''

from ...utils import (
    OptionalDependencyNotAvailable,
    is_torch_available,
    is_transformers_available,
    is_transformers_version,
)


try:
			if not (is_transformers_available() and is_torch_available() and is_transformers_version('''>=''', '''4.25.0''')):
						raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
			from ...utils.dummy_torch_and_transformers_objects import UnCLIPImageVariationPipeline, UnCLIPPipeline
else:
			from .pipeline_unclip import UnCLIPPipeline
			from .pipeline_unclip_image_variation import UnCLIPImageVariationPipeline
			from .text_proj import UnCLIPTextProjModel




